Ferrum Health
Provides an AI governance platform for health systems that centralizes deployment, validation, and measurement of clinical AI models. The platform connects to clinical systems (EMR, PACS, reporting/worklists), supports on-premises and single-tenant cloud deployments, automates local ground-truth generation, monitors model bias and drift, and links clinical performance to financial impact to support scale and operational decision-making.
Industries
N/A
Nr. of Employees
small (1-50)
Patents
Products
Integrated deployment and orchestration backbone
A deployment fabric that provides a single, secure integration point into clinical infrastructure and routes models into clinical workflows across sites and service lines.
Model catalog and management
Catalog and governance capabilities for discovery, approval, routing, and monitoring of models from multiple sources with portfolio visibility.
Observability and automated ground truth
Continuous observability layer that links predictions to local outcomes, automates ground-truth creation, and surfaces bias, drift, and performance signals.
Integrated deployment and orchestration backbone
A deployment fabric that provides a single, secure integration point into clinical infrastructure and routes models into clinical workflows across sites and service lines.
Model catalog and management
Catalog and governance capabilities for discovery, approval, routing, and monitoring of models from multiple sources with portfolio visibility.
Observability and automated ground truth
Continuous observability layer that links predictions to local outcomes, automates ground-truth creation, and surfaces bias, drift, and performance signals.
Services
Enterprise platform that centralizes deployment, validation, and measurement of clinical AI models; integrates with clinical systems, automates local ground truth, monitors performance and bias, and provides clinical-to-financial analytics.
Enterprise platform that centralizes deployment, validation, and measurement of clinical AI models; integrates with clinical systems, automates local ground truth, monitors performance and bias, and provides clinical-to-financial analytics.
Expertise Areas
- Clinical AI governance
- Health IT integration (EMR/PACS/reporting/worklist)
- Model observability and validation
- Clinical outcomes analytics and ROI
Key Technologies
- EMR integration
- PACS integration
- Single-tenant cloud deployment
- On-premises deployment
News & Updates
Scheduled meetings and booth presence at RSNA 2025 in November; booking available for meetings.
Typical time from decision to first production go-live cited as approximately 10 weeks.
Website cites governance of clinical AI across approximately 40 million lives at leading health systems.
Website cites an example metric of lower local compute cost (stated as ~75% lower vs typical vendor cloud in marketing content).
Scheduled meetings and booth presence at RSNA 2025 in November; booking available for meetings.
Typical time from decision to first production go-live cited as approximately 10 weeks.
Website cites governance of clinical AI across approximately 40 million lives at leading health systems.
Website cites an example metric of lower local compute cost (stated as ~75% lower vs typical vendor cloud in marketing content).